*****************************************************************
* Replication directory for                                   ***
* Prime locations                                             ***
* by Gabriel M. Ahlfeldt, Thilo N.H. Albers, Kristian Behrens ***
* Published in American Economic Review: Insights             ***
*****************************************************************

This folder contains the following subfolders:

BlockData 			Folder containing delimited text files pp_sampling_XXXXX_output.txt for US MSAs that overlap with the Global Cities sample, where XXXXX is the CBSA identifier.
				Each file contains counts of National Economic Time Series (NETS) employment from proprietary establishment data and counts of big data establishment 
				(raw data in _Data\125 GLOBAL CITIES\CLUSTERING\RAW) for 100K (per MSA) randomly drawn disks with 750m radius (restricted to developable areas). 
				Each file has the following structure, where v1, v2, etc. indicate the first, second, etc. variable: 
				v1 & v2: technical variables for debugging
				v3: total employment from NETS
				v4: accounting big data establishment count
				v5: centralbank big data establishment count
				v6: consultancy big data establishment count
				v7: insurance big data establishment count
				v8: investmentbank big data establishment count
				v9: lawfirm big data establishment count
				v10: stockexchange big data establishment count
				v11: accounting_global big data establishment count
				v12: centralbank_global big data establishment count
				v13: consultancy_global big data establishment count
				v14: insurance_global big data establishment count
				v15: investmentbank_global big data establishment count
				v16: lawfirm_global big data establishment count
				v17: stockexchange_global big data establishment count
				v18: tsheadquarter_global big data establishment count
				These data sets are used to estimate big data establishment employment weights.

National Economic Time Series	National Economic Time Series  
				Our main data source for micro-geographic employment and establishment data is the National Economic Time Series (NETS).  
				The NETS data are a consistent time-series version of the Dun & Bradstreet (D&B) archival data, provided by Walls & Associates.  
				These data contain a quasi-exhaustive picture of all establishments listed in the D&B databases that have a DUNS number.  
				We have obtained establishment location data (latitude and longitude), employment figures, and primary industry codes (NAICS 6-digit).  
				For all our computations, we use the 2012 vintage of the NETS data.  
				We have obtained permission to share the aggregate employment data, which we make available in the aforementioned files.  
				However, we cannot provide access to the underlying establishment-level data.  
				To access the proprietary establishment-level data, please contact dwalls2@earthlink.net.  

This folder contains the following data files:

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References

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